Explore the diverse electrical engineering application of polymer composite materials with this in-depth collection edited by leaders in the field Polymer Composites for Electrical Engineering delivers a comprehensive exploration of the fundamental principles, state-of-the-art research, and future challenges of polymer composites. Written from the perspective of electrical engineering applicati…
Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple ""canned"" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, …
This edition combines clear statistical methods with a proven approach that presents a problem, then a scenario. Updated applications reflect the latest developments in business and statistics today. You work with more than 350 new and updated business examples, approximately 50 new and updated cases and hands-on exercises that highlight statistics in action.
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern s…
Get more out of learning statistics than simply the ability to solve equations. Discover how statistical information enables strong decisions in today’s business world with STATISTICS FOR BUSINESS AND ECONOMICS, REVISED 13E. Sound methodology combines with a proven problem-scenario approach, and meaningful applications for the most powerful approach to mastering critical statistical concepts.…
Statistical Techniques in Business and Economics is a best-selling textbook designed for students in management, marketing, finance, accounting, economics, and other business fields. It offers a clear, step-by-step approach to descriptive and inferential statistics, making it accessible for all learners. Included Appendix, Glossary, and Index
For courses in management science and decision modeling. Foundational understanding of management science through real-world problems and solutions Quantitative Analysis for Management helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors of…
The authors bring more than twenty-five years of unmatched experience to this text, along with sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in the business world. Thoroughly updated, the text's more than 350 real business examples, cases, and memorable exercises present the l…
Six Sigma for Managers is a practical overview on how to implement Six Sigma practices in everyday business. Emphasizing straightforward explanations instead of complex charts and statistics, it shows managers how to map processes, measure smart, and follow other Six Sigma principles.
An introduction to econometric theory and techniques, this text provides extensive examples, careful explanations and a variety of problem materials designed to enable students to understand econometrics.
Focusing on understanding, it emphasizes the intuitive, de-emphasizes the mathematical, explains everything in clear, simple language, and requires reader to put what they know into words rather than to recite formulas. Emphasizes statistical methods as used in research in a wide range of social science fields e.g., education, sociology, communication, political science, anthropology, psycholog…
For me the comprehensive nature of the text is most important - even when I don't cover topics in class students gain value by being able to read about cluster analysis or ROC analysis in enough detail that they can conduct their own analyses. Students appreciate the integration with SPSS. There is an appropriate balance of "practice" and background so that students learn what they need to know…
Discusses fundamental techniques for analysing and interpreting data.